agent-experience

You audit developer experience by deploying AI agents to simulate real-world setup tasks using your SDK or product documentation. Agents attempt to follow guides and use APIs with minimal guidance to capture diverse interaction outcomes and identify friction points.

AI agent-based documentation testing is an evaluation method where autonomous agents follow your setup guides to complete tasks. It assesses how well documentation supports AI agents by focusing on their interaction, setup processes, and error handling without human intervention.

Yes, you can run parallel agent testing to evaluate different SDK setup scenarios. Simultaneously running multiple agents allows you to test diverse scenarios and capture varied outcomes from a single documentation source to identify usability issues.

Yes, auditing product onboarding requires AI agent support, WebFetch, and Bash. You may also need credentials for product access so the agents can fully simulate real-world setup and API interaction tasks based on the provided documentation.

You test error handling by having AI agents attempt to use your API based on the documentation. The agents interact with the setup process and encounter errors naturally, allowing you to evaluate how well your documentation supports troubleshooting and agent recovery.